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Zenisek, Thomas J. – Educational and Psychological Measurement, 1978
A FORTRAN computer program was derived for an IBM series 360/370 computer system that provides a factor analytic solution for large three-dimensional data matrices. The computational procedures employed are based upon those presented in Method III by Tucker. (Author/JKS)
Descriptors: Computer Programs, Factor Analysis, Matrices, Multidimensional Scaling
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Hofmann, Richard J. – Multivariate Behavioral Research, 1978
A computational algorithm, called the orthotran solution, is developed for determining oblique factor analytic solutions utilizing orthogonal transformation matrices. Selected results from illustrative studies are provided. (Author/JKS)
Descriptors: Factor Analysis, Mathematical Models, Matrices, Oblique Rotation
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Carter, E. M.; And Others – Journal of Multivariate Analysis, 1976
The distribution of the likelihood ratio test for testing the reality of the covariance matrix of a complete multivariate normal distribution is investigated. (Author/RC)
Descriptors: Analysis of Covariance, Hypothesis Testing, Matrices, Probability
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Curry, G. David – Teaching Sociology, 1988
Demonstrates the value of spreadsheets for teaching sociology using Lotus 1 2 3 as an example. Shows how a Cholesky factorization, an eigenstructure solution, a correlation analysis, and a discriminant analysis may be performed using a spreadsheet or a BASIC program (included). (BSR)
Descriptors: Factor Analysis, Higher Education, Matrices, Microcomputers
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Walkey, Frank H. – Educational and Psychological Measurement, 1986
A factor replication procedure (FACTOREP) was evaluated using four psychometrically equivalent synthetic correlation matrices containing an imposed three-subscale structure. Comparisons of the structure revealed by two, three, four, and nine-factor rotations using the FACTOREP showed that only the three factor solutions were replicable across all…
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
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Brokken, Frank B. – Psychometrika, 1985
A generalized congruence maximization procedure for the case of m matrices is presented. The orthogonal rotation procedure simultaneously maximizes the sums of all coefficients of congruence between corresponding factors of m factor matrices. (NSF)
Descriptors: Factor Analysis, Matrices, Orthogonal Rotation, Rating Scales
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Kalman, Dan – College Mathematics Journal, 1984
Two methods for solving matrix equations are discussed. Both operate entirely on a matrix level. (MNS)
Descriptors: Algebra, College Mathematics, Higher Education, Mathematics
Cao, Zhongjun; Forgasz, Helen; Bishop, Alan – International Group for the Psychology of Mathematics Education, 2005
This paper explores levels of perceived parental influence on mathematics learning among over 700 students in China and Australia. Students in China had stronger perceived parental influences than students in Australia, and while students in China, Chinese speaking students in Australia, and other language speaking students in Australia…
Descriptors: Foreign Countries, Mathematics Education, Parent Influence, Mathematics Achievement
Taylor, Dianne L.; Angelle, Pamela S. – 2000
A matrix of characteristics associated with transformational leadership and with high reliability organizations was developed. Using the matrix as a lens, researchers examined a successful school involved in a school improvement effort to understand the success more fully. Transformational leaders provide opportunities for personal growth for…
Descriptors: Elementary Secondary Education, Matrices, Organizational Effectiveness, Reliability
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Goff, Gerald K.; McKellips, Terral L. – Mathematics Teacher, 1974
Descriptors: Algebra, Algorithms, Matrices, Multiplication
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Forest, Laverne B. – Journal of Extension, 1973
Seven value-type catergories which can be used in guiding a programing situation analysis are social-psychological, economic, physiological and health, socio-political, education, environment and natural resources, and ecological relationships. These categories are related to seven basic questions in a matrix model to determine program needs. (MS)
Descriptors: Educational Objectives, Matrices, Models, Program Design
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Wagner, William J. – Mathematics Teacher, 1974
Descriptors: Mathematical Concepts, Mathematical Formulas, Matrices, Secondary School Mathematics
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Gaines, Rosslyn – Developmental Psychology, 1973
Young children were given tasks in which they were to identify small variations in complex patterns. Results indicated the children were able to perform the task more accurately than developmental models would have predicted. (ST)
Descriptors: Cognitive Development, Matrices, Pattern Recognition, Perceptual Development
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Gold, Robert S.; And Others – Journal of School Health, 1983
This article examines the utility of multi-matrix sampling as a technique in health education research that permits collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. Advantages and limitations of multi-matrix sampling are delineated through a hypothetical example. (Authors/CJ)
Descriptors: Data Collection, Health Education, Item Sampling, Matrices
Fliegner, Herbert R. – Executive Educator, 1982
Describes how Suffern (New York) High School creates its master class schedule using a computer-generated "conflict matrix" that shows the enrollment for each course and the number of students who would experience scheduling conflicts if any two courses were offered at the same time. (Author/RW)
Descriptors: Computer Oriented Programs, High Schools, Matrices, Scheduling
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